// Copyright 2024 Google LLC // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. syntax = "proto3"; package google.ai.generativelanguage.v1beta; import "google/api/annotations.proto"; import "google/api/client.proto"; import "google/api/field_behavior.proto"; import "google/api/resource.proto"; import "google/protobuf/struct.proto"; option go_package = "cloud.google.com/go/ai/generativelanguage/apiv1beta/generativelanguagepb;generativelanguagepb"; option java_multiple_files = true; option java_outer_classname = "PredictionServiceProto"; option java_package = "com.google.ai.generativelanguage.v1beta"; // A service for online predictions and explanations. service PredictionService { option (google.api.default_host) = "generativelanguage.googleapis.com"; // Performs a prediction request. rpc Predict(PredictRequest) returns (PredictResponse) { option (google.api.http) = { post: "/v1beta/{model=models/*}:predict" body: "*" }; option (google.api.method_signature) = "model,instances"; } } // Request message for // [PredictionService.Predict][google.ai.generativelanguage.v1beta.PredictionService.Predict]. message PredictRequest { // Required. The name of the model for prediction. // Format: `name=models/{model}`. string model = 1 [ (google.api.field_behavior) = REQUIRED, (google.api.resource_reference) = { type: "generativelanguage.googleapis.com/Model" } ]; // Required. The instances that are the input to the prediction call. repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED]; // Optional. The parameters that govern the prediction call. google.protobuf.Value parameters = 3 [(google.api.field_behavior) = OPTIONAL]; } // Response message for [PredictionService.Predict]. message PredictResponse { // The outputs of the prediction call. repeated google.protobuf.Value predictions = 1; }